Results 201 to 210 of about 287,232 (281)

COVARIANCE LOSS, SZEMEREDI REGULARITY, AND DIFFERENTIAL PRIVACY. [PDF]

Proc Am Math Soc
Boedihardjo M, Strohmer T, Vershynin R.
europepmc   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Real-Time Cascaded State Estimation Framework on Lie Groups for Legged Robots Using Proprioception. [PDF]

Biomimetics (Basel)
Liu B, Meng F, Zhang Z, Wang M, Wang T, Chen X, Yu Z.   +6 more
europepmc   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

Geometric Neural Ordinary Differential Equations: From Manifolds to Lie Groups. [PDF]

Entropy (Basel)
Wotte YP, Califano F, Stramigioli S.
europepmc   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Evolutions of partner-ruled surfaces with simultaneous inextensibility conditions. [PDF]

PLoS One
Eren K, Ersoy S, Khan MNI.
europepmc   +1 more source

A Cascaded Strategy With Embodied Artificial Intelligence: Forward Kinematics Solutions for CCRobot‐S

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents a novel cable‐climbing mechanism: the Collaborative Climbing Robot Squad (CCRobot‐S), a variant of Reconfigurable Cable‐Driven Parallel Robots (R‐CDPR), specifically designed for the inspection and maintenance of stay cables.
Zhenliang Zheng, Yongyuan Xu, Xuchun He, Tin Lun Lam, Ning Ding   +4 more
wiley   +1 more source

CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction. [PDF]

J Chem Inf Model
Feng H, Suwayyid F, Zia M, Wee J, Hozumi Y, Chen CL, Wei GW.   +6 more
europepmc   +1 more source

On an Aggregation Theory for Indicators Expressing Behaviors of Complex Systems With an Application to Sustainability

Sustainable Development, EarlyView.
ABSTRACT Certain attributes of large‐scale complex systems are often expressed through sets of indicators. For example, the sustainability of an entity, be it a nation, a city, an energy system, a corporation etc., can be effectively represented by indicators and corresponding data series.
Vassilis S. Kouikoglou, Yannis A. Phillis   +1 more
wiley   +1 more source